The project aims to train sentence embedding models on very large sentence level datasets using a self-supervised contrastive learning objective. We used the ...
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What is huggingface and how do you use it?
Hugging Face is an excellent platform for learning AI skills. It offers a comprehensive set of tools and resources for training and using models. This includes demos, use cases, documentation, and tutorials that guide you through the entire process of using these tools and training models.
What is DistilRoBERTa base?
DistilRoBERTa is a distilled version of the RoBERTa-base model, with 6 layers, 768 dimensions, and 12 heads, totaling 82M parameters. It is trained on OpenWebTextCorpus, a reproduction of OpenAI's WebText dataset, and achieves comparable performance to RoBERTa while being twice as fast.
Do Huggingface models run locally?
As long as your hardware performs at a level that is comfortable for you, running an open source large language model locally isn't that difficult thanks to Hugging Face transformers library. In only a few lines of code, I was able to instantiate the model, load it into my GPU, submit a prompt and get a result.
How to download transformers from huggingface?
Installing from source To install from source, clone the repository and install with the following commands: git clone https://github.com/huggingface/transformers.git cd transformers pip install -e . to check 🤗 Transformers is properly installed.
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